|
|
Absolute deviation, 绝对离差+ [! e+ ^0 U. R5 C4 u4 |, _2 f
Absolute number, 绝对数1 \9 y3 Y9 l7 H/ S1 y
Absolute residuals, 绝对残差
3 ^6 o2 \4 K3 m _* \/ p4 s. RAcceleration array, 加速度立体阵
. i9 V% s; M4 r& F; JAcceleration in an arbitrary direction, 任意方向上的加速度 A$ n; n1 u: @: S v" e
Acceleration normal, 法向加速度/ h8 Q1 n* h' A
Acceleration space dimension, 加速度空间的维数. H" {8 R2 C, F( x
Acceleration tangential, 切向加速度
0 m5 Z* R/ I% r8 G5 a5 |Acceleration vector, 加速度向量 Y! V9 O; [. S
Acceptable hypothesis, 可接受假设! }7 r8 L t% |' S$ w5 Z N
Accumulation, 累积
( Z8 {' p% t* m% a9 ]Accuracy, 准确度4 J4 n* ~; ^/ \1 T3 a, _
Actual frequency, 实际频数! _+ x& P, T3 L+ Y
Adaptive estimator, 自适应估计量
l7 U+ r; l- M! [Addition, 相加
0 [0 G# Y1 R; T* ?Addition theorem, 加法定理
: V7 o( n+ ~- a$ Y/ l/ jAdditivity, 可加性8 ?, m0 h' P! V/ q
Adjusted rate, 调整率
2 v1 ]. X/ F! |+ gAdjusted value, 校正值
, x+ p0 z' n# c* i+ m* y" Q& a- r- E5 NAdmissible error, 容许误差- g: J' `( B' E" C. L. f
Aggregation, 聚集性5 g; G {& n1 [8 g
Alternative hypothesis, 备择假设
: [4 d6 A5 `/ D6 Z1 \Among groups, 组间5 \4 l/ @9 p9 Y: F; J+ w' d
Amounts, 总量
: _+ j1 I/ d6 u, N- I8 y8 OAnalysis of correlation, 相关分析( `$ S# y- O0 n# A& e# A
Analysis of covariance, 协方差分析' t; f7 S( q/ y* v% P
Analysis of regression, 回归分析' L" O( Q7 l! g# s# q
Analysis of time series, 时间序列分析) L0 r V! L Y, }( {+ c
Analysis of variance, 方差分析" r2 Y+ w# p+ d2 v4 h+ z# l
Angular transformation, 角转换; `2 z1 p/ }, W" v
ANOVA （analysis of variance）, 方差分析! }) M9 Z! l0 b
ANOVA Models, 方差分析模型
( n- r2 e6 j: E/ `+ XArcing, 弧/弧旋8 ~) g" Y4 U' t5 G& M5 K7 [
Arcsine transformation, 反正弦变换
2 c: v# @2 [- ]: [: H, L5 S! w3 iArea under the curve, 曲线面积
" d9 }" y$ Q4 n1 D* L1 h& _) ]+ g9 e2 kAREG , 评估从一个时间点到下一个时间点回归相关时的误差 $ ~1 Q) X' y- p
ARIMA, 季节和非季节性单变量模型的极大似然估计
* X* K# q* Z9 T, Z% LArithmetic grid paper, 算术格纸2 u/ U$ r( X; G4 T. F
Arithmetic mean, 算术平均数
4 ]/ |2 N8 J+ ]. y0 ~% `% YArrhenius relation, 艾恩尼斯关系) H& m/ }3 h8 G; F' N9 `
Assessing fit, 拟合的评估% D# y& b/ O0 x& Z3 d' p# r% f9 \
Associative laws, 结合律' v- Y$ T- `4 I' |1 r& w
Asymmetric distribution, 非对称分布. F: z1 _! E" [. B d$ l
Asymptotic bias, 渐近偏倚6 Q- q( s2 Q0 L6 |5 n+ j
Asymptotic efficiency, 渐近效率" |0 g% U% D% ~. N8 L% k
Asymptotic variance, 渐近方差" x$ s; S0 G" _0 T, G$ C
Attributable risk, 归因危险度
. B0 j7 O1 y Y) {' z0 \# WAttribute data, 属性资料% W2 j& j$ I) L9 Q, C
Attribution, 属性9 g9 I$ P: m/ K7 L5 y
Autocorrelation, 自相关. T# K6 ]" d3 O
Autocorrelation of residuals, 残差的自相关7 h- T( O9 y3 L+ c2 S
Average, 平均数# ^: B! r3 H6 d3 W
Average confidence interval length, 平均置信区间长度
; }/ ?- d( r5 {- nAverage growth rate, 平均增长率
9 X- ~9 a" F+ Z, w! \Bar chart, 条形图
$ C( }6 X) x, C$ d+ b& tBar graph, 条形图3 w2 ?+ |% h. A3 n
Base period, 基期
2 W& } |( c* J- X. r7 d, [ QBayes' theorem , Bayes定理
7 l, C2 V S4 r7 K1 @: BBell-shaped curve, 钟形曲线7 g7 D7 I7 H- v/ N( b6 v% b
Bernoulli distribution, 伯努力分布( n9 U( a$ P2 k4 `
Best-trim estimator, 最好切尾估计量; v/ Z C+ E( u
Bias, 偏性* h$ L& y: g9 G& X0 M* C5 j- g% h2 I
Binary logistic regression, 二元逻辑斯蒂回归6 h1 r; m W$ I0 I, Y
Binomial distribution, 二项分布
( H: t- H# \+ u" [% GBisquare, 双平方) \) A* |5 f- a K8 `
Bivariate Correlate, 二变量相关
% F- M9 h- x& w7 `( Z; |Bivariate normal distribution, 双变量正态分布
t C8 C9 G/ U& Z6 FBivariate normal population, 双变量正态总体
( \. d$ |/ s `; ]. [; rBiweight interval, 双权区间# m0 [" B3 G' J$ q
Biweight M-estimator, 双权M估计量! B. n; b5 O+ j; t* D9 a
Block, 区组/配伍组/ x! i1 m+ t- t9 }; ^6 ^
BMDP(Biomedical computer programs), BMDP统计软件包
0 w e2 y# s( C# P& A; nBoxplots, 箱线图/箱尾图
2 u0 r0 R2 u- y! GBreakdown bound, 崩溃界/崩溃点
* p. R6 |" X* d6 W \Canonical correlation, 典型相关
4 N/ r; ^* L: g% ^$ cCaption, 纵标目. H& c1 m; u) m8 e
Case-control study, 病例对照研究, V4 x0 j0 G) h% M, q+ _
Categorical variable, 分类变量
3 s5 u& Y9 j& f; `Catenary, 悬链线 p# {6 L: {- @& ?! [- u5 Z6 _0 T7 |
Cauchy distribution, 柯西分布# i Q4 d0 q/ v) m
Cause-and-effect relationship, 因果关系
) t& ?# M* i7 O4 M6 v$ TCell, 单元
* F1 q2 p6 ]: @' y# v) y4 a+ uCensoring, 终检
- e2 b$ W% ]6 o9 \* {5 k ~/ eCenter of symmetry, 对称中心& q4 S R2 m/ C b
Centering and scaling, 中心化和定标/ p2 g r ~$ J" A/ t% A2 S
Central tendency, 集中趋势' N6 F0 u8 l) H3 K6 c8 G
Central value, 中心值) A7 c( [# }& S/ y# F
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
j0 i. @' N5 `, W0 \Chance, 机遇7 C: D: `3 j3 H
Chance error, 随机误差
- L, [$ }, ^/ v: ~3 n, P. rChance variable, 随机变量. Q9 n# J) ^% z6 `7 g
Characteristic equation, 特征方程- b5 i* \6 J( c$ [$ U
Characteristic root, 特征根
7 G! T. c- |8 J4 w" GCharacteristic vector, 特征向量
+ J _; _' p1 C1 w+ `) PChebshev criterion of fit, 拟合的切比雪夫准则
! L. y# e2 K+ J6 B+ s' uChernoff faces, 切尔诺夫脸谱图
2 b. I) u* @: ?% S) ZChi-square test, 卡方检验/χ2检验
7 p, q0 R( M& i5 U8 ECholeskey decomposition, 乔洛斯基分解
' r% ~8 L/ m- {+ n; sCircle chart, 圆图
0 P4 k; K% ^ }+ O" W( n7 YClass interval, 组距! ~# g& ~; ]6 M
Class mid-value, 组中值
$ n k+ ` b% j" [) e2 e$ aClass upper limit, 组上限 v8 c% S4 q+ @% l
Classified variable, 分类变量0 X% t) T% l$ V6 q. {3 W) d
Cluster analysis, 聚类分析5 t" V( [, c% ~. T$ J% G6 S8 C
Cluster sampling, 整群抽样6 ~ v1 J; O- z3 p9 H& v: a
Code, 代码
2 P5 u" n @9 b2 ?' z# xCoded data, 编码数据
2 Q' B8 v: k n/ k( RCoding, 编码/ l8 M. ^$ S5 V% ~5 S
Coefficient of contingency, 列联系数& E6 |5 ~& i9 R W2 ]2 S6 [& x4 D
Coefficient of determination, 决定系数 |2 }* [& d J9 b: {
Coefficient of multiple correlation, 多重相关系数3 a5 @! k0 @5 \+ l# y, N: t1 c$ Z& f
Coefficient of partial correlation, 偏相关系数
4 d7 i- x7 P# Z# j1 x( ^. o+ nCoefficient of production-moment correlation, 积差相关系数6 p5 f- k, p [' s1 F
Coefficient of rank correlation, 等级相关系数
2 Z7 i j* g& ~+ `1 g, BCoefficient of regression, 回归系数
6 C" W+ W- l; ]# s2 I' JCoefficient of skewness, 偏度系数! a9 P) f% y4 G% x" [0 l2 X1 X
Coefficient of variation, 变异系数
3 b# T! J: q( J( N( LCohort study, 队列研究3 G# A% B1 y% G: t
Column, 列6 g* M4 v$ N( _" S
Column effect, 列效应
. \" K3 @1 b, R6 \& R7 S( \1 ?Column factor, 列因素" K' d4 l+ B/ ]1 V
Combination pool, 合并" J( N3 d6 A! N& l: e
Combinative table, 组合表7 A5 V" O j# _1 Q @0 ?- c. ~& |
Common factor, 共性因子. `/ L! s$ i. j# x M& H% |7 ]
Common regression coefficient, 公共回归系数& Q% S4 `/ c& E; {9 B& j8 {; k
Common value, 共同值0 e, j- A5 U9 M' M2 H
Common variance, 公共方差. u8 u# R+ j4 F+ ]: r, P9 {* n% D# `9 c2 q
Common variation, 公共变异' a, i. O# C: U( S3 k
Communality variance, 共性方差
|3 A! N# m- d) Z% z7 r; QComparability, 可比性
1 B/ e% O' x3 f* {Comparison of bathes, 批比较6 r( e8 D; V4 W
Comparison value, 比较值
& I& e7 h' b' g8 _$ i% [Compartment model, 分部模型
9 g- V5 F3 ^. U4 cCompassion, 伸缩
; Y4 L3 d3 C. QComplement of an event, 补事件) L" S) w- a- Q* n" W& Y( H/ f
Complete association, 完全正相关 E& K- a: v, `0 W- ^+ x
Complete dissociation, 完全不相关
3 E( q$ P5 c+ x) T: o) \Complete statistics, 完备统计量
5 | C" W/ J# X; `; V' F) xCompletely randomized design, 完全随机化设计
0 c( P; J# E ^) j& G( @Composite event, 联合事件2 Y( g7 t0 F1 u% ^3 v9 t7 g. p7 k7 W
Composite events, 复合事件
) A0 C1 {$ p. T- U; hConcavity, 凹性8 W, N! b( w, I5 j- [* h9 W2 w
Conditional expectation, 条件期望
* g. K/ w# Z. ?. J8 {) ~Conditional likelihood, 条件似然8 O. H! E: t. m4 O9 ?6 f5 ?( p. L* _
Conditional probability, 条件概率6 I0 U3 z1 H* T
Conditionally linear, 依条件线性$ |( j* D6 b3 P- v
Confidence interval, 置信区间' R; v, R! V$ M1 \* [3 v8 T
Confidence limit, 置信限5 F& S! K" O ^1 P: b8 y0 c3 S7 v: x5 q
Confidence lower limit, 置信下限
% z! w3 v% I$ S( X% @7 h7 vConfidence upper limit, 置信上限
8 K( J6 p5 K. _! mConfirmatory Factor Analysis , 验证性因子分析, V; W; \/ N' u( B r$ S
Confirmatory research, 证实性实验研究
; z8 U9 K/ t3 R2 DConfounding factor, 混杂因素. O! s$ `) G4 r) O# h
Conjoint, 联合分析- U5 @5 X* Y; o. F% f
Consistency, 相合性$ ~# `! m- d# L) s( s; M
Consistency check, 一致性检验7 _, m6 [4 ]+ q. T0 w
Consistent asymptotically normal estimate, 相合渐近正态估计
8 n$ s; N$ v7 Z3 {/ g; U5 D% RConsistent estimate, 相合估计
: N8 A/ T; i; a& Q! F# wConstrained nonlinear regression, 受约束非线性回归
@ O G3 [& B: rConstraint, 约束
S* _6 z3 X* O6 Z1 X/ OContaminated distribution, 污染分布; i, P! p! ~' n( F# g
Contaminated Gausssian, 污染高斯分布
" `( o! l% M% ?4 |( H# D' NContaminated normal distribution, 污染正态分布
! h% ~4 G E$ ^: ^4 l+ R! dContamination, 污染
8 [1 t7 Y9 d- E. H3 Q% WContamination model, 污染模型
6 b$ F- M- O" kContingency table, 列联表$ E1 G4 a" D6 F- G v* K0 ~
Contour, 边界线 C! H. q' q& o3 r- s, m( d
Contribution rate, 贡献率( b8 B& F. x7 ]" {
Control, 对照/ c- v' E! R& j2 R4 `
Controlled experiments, 对照实验
6 E* c# p8 W/ b! r' @, fConventional depth, 常规深度
9 I. T. g4 t- h! l9 S8 [8 EConvolution, 卷积$ \" |8 p! V0 A2 S- i4 b5 E: S
Corrected factor, 校正因子
( c+ S) x5 V* p% c, S. @Corrected mean, 校正均值0 M, h/ N" _5 t/ i3 |1 k
Correction coefficient, 校正系数
& L6 C5 z) j/ v& \) r# j7 y# KCorrectness, 正确性
8 z( B, W. n' j2 z9 S$ a% VCorrelation coefficient, 相关系数; T, k! r+ T1 b# ? y7 ^
Correlation index, 相关指数3 R9 a' |7 O) i7 q% v
Correspondence, 对应7 Q$ U: ]4 |: _* c! a4 o
Counting, 计数
3 m( Z, M; ?- M) b0 n B7 tCounts, 计数/频数" M+ i. n! J2 R( c5 n
Covariance, 协方差. O3 u8 P; P: y: k
Covariant, 共变
0 y+ ], h; S4 E4 {- [0 {; n, c5 |. Y! eCox Regression, Cox回归+ `/ q" u# `8 }1 G7 @2 \2 U0 X4 r. d
Criteria for fitting, 拟合准则/ j# e. e. \3 Y
Criteria of least squares, 最小二乘准则, n9 F- C o7 y1 O$ j
Critical ratio, 临界比1 s# S1 Y* N0 l4 L$ o
Critical region, 拒绝域
2 [! S' k& _; h7 H, A7 tCritical value, 临界值
- O( x) n" u5 u, W' g; p! }& rCross-over design, 交叉设计
( X1 |( ]5 a* r. MCross-section analysis, 横断面分析* d* k2 {. j& D
Cross-section survey, 横断面调查
d5 h& v% x2 l+ W# T6 ^0 ]Crosstabs , 交叉表
. V, ]% w' J. ~5 XCross-tabulation table, 复合表
5 K4 ^' E E5 {- x4 F' ?+ i' |5 H( DCube root, 立方根5 r8 w- t) ]) v
Cumulative distribution function, 分布函数" v/ W& ^4 l' H2 Y
Cumulative probability, 累计概率
- Q1 l- c1 t( P" KCurvature, 曲率/弯曲( Q; M0 _% S6 M% b" Z8 o* Q! \
Curvature, 曲率
/ u9 X9 {0 Z: Y7 T' h% DCurve fit , 曲线拟和
# b, L' ?; }' b( x& t! yCurve fitting, 曲线拟合
; ~( W8 e% j: D% }2 Y+ o1 b! cCurvilinear regression, 曲线回归
) J+ B9 q- X" mCurvilinear relation, 曲线关系
: e9 U9 Z) ~- ?5 H7 X8 gCut-and-try method, 尝试法
3 [. N" c# V! F) W3 V$ MCycle, 周期5 }/ y2 ^6 b' J0 l- O0 \4 t$ a
Cyclist, 周期性/ ^6 l/ Y6 V- k$ o/ q1 D8 j4 t
D test, D检验. m" i1 ]! w9 c6 \7 t! y, \: K
Data acquisition, 资料收集9 H5 t# ?0 }. R2 j3 O% F2 H) V0 M
Data bank, 数据库
4 D9 N2 }" t$ v7 j; l7 H% M' S8 tData capacity, 数据容量5 Y- R+ ~! o% |
Data deficiencies, 数据缺乏- p" N- g, x, j! p6 M
Data handling, 数据处理$ {5 G) n" k% [' }% K6 }- K
Data manipulation, 数据处理
% F4 \# U- h1 O0 k4 j% b* cData processing, 数据处理
( b$ {' ^7 w, M2 t" y" mData reduction, 数据缩减
- q1 F" a) i b- SData set, 数据集! ~; P* \0 r" M: u; m
Data sources, 数据来源) v0 u$ Q" {/ D& Z) y% k4 t5 V/ p
Data transformation, 数据变换4 R3 d* o5 {6 _! S2 Z( Z4 h' N
Data validity, 数据有效性4 r2 {" e @( c% F9 Z
Data-in, 数据输入9 N* E7 q- s0 y5 V2 {, ?+ {+ D
Data-out, 数据输出3 J# @; |/ @- m( T6 D
Dead time, 停滞期. m! Y. y* y5 Q, k+ [
Degree of freedom, 自由度
7 X/ ~! S0 `9 { m0 qDegree of precision, 精密度, q5 t. j8 b" b1 q# U2 D
Degree of reliability, 可靠性程度2 j+ z0 H! H$ b. x
Degression, 递减9 Q+ k/ a- B/ N9 Y# f5 s
Density function, 密度函数
( ?3 r$ K# @, Y) K. EDensity of data points, 数据点的密度
+ y/ Q, I9 L! E% J t. WDependent variable, 应变量/依变量/因变量, r' z0 R. p- {6 f! w; x4 ~6 H
Dependent variable, 因变量
/ d3 f8 X8 L+ C) PDepth, 深度- B" S" r/ t. J) H
Derivative matrix, 导数矩阵
% [$ }6 i8 A" bDerivative-free methods, 无导数方法
" y/ {* w$ J6 L+ MDesign, 设计& h2 n6 ]9 r2 n6 n9 |0 c3 K8 C
Determinacy, 确定性+ X9 i9 e% q) U% h9 `
Determinant, 行列式
2 j( R" P, q# W7 RDeterminant, 决定因素6 e6 t: h% M+ M
Deviation, 离差9 U3 y4 L U6 ~+ ^) U2 d
Deviation from average, 离均差6 w* C& V, Q5 W
Diagnostic plot, 诊断图
. J5 A: i! {" zDichotomous variable, 二分变量. x# a' h* n) s; k: }
Differential equation, 微分方程
5 B; n* l4 H: q( c5 Z! y$ V' [Direct standardization, 直接标准化法$ u- {9 m. U+ b2 w4 ~/ }5 {) k5 G
Discrete variable, 离散型变量: s" t$ Y- P2 u* G3 g* P
DISCRIMINANT, 判断
; E, k5 {: F9 r8 T+ @$ ADiscriminant analysis, 判别分析' r8 Y& m$ q7 I) L9 ?+ R
Discriminant coefficient, 判别系数
6 f' h! P+ k0 S G, }9 [0 RDiscriminant function, 判别值
9 ~0 ^4 p2 d. G3 ~, H' T5 QDispersion, 散布/分散度
& u7 S( S' E$ HDisproportional, 不成比例的: ~: G* _. @; |* ~& t+ @* S; D
Disproportionate sub-class numbers, 不成比例次级组含量; u' O4 b0 ]' ?5 F! j
Distribution free, 分布无关性/免分布
6 m% y# w1 ]; m; ]; \Distribution shape, 分布形状
- w& i4 i6 c! SDistribution-free method, 任意分布法
, D. D' y* ?; M5 j4 N, pDistributive laws, 分配律
2 `! f0 B8 R" A- kDisturbance, 随机扰动项# z( ^0 v" B) D" x+ N
Dose response curve, 剂量反应曲线+ R6 ~' } W3 R5 ~) n! H
Double blind method, 双盲法" t5 h6 e' E1 k) r$ a2 F3 Y
Double blind trial, 双盲试验
# o5 \1 ]$ a2 K8 S2 O7 QDouble exponential distribution, 双指数分布2 \2 A' Q4 S* u7 Y p8 o
Double logarithmic, 双对数2 U# M3 Q- ~$ p8 Y4 W, y9 f7 {7 z
Downward rank, 降秩
5 i5 e% G7 A/ v1 D1 `& hDual-space plot, 对偶空间图
8 K+ {+ \) X2 n6 H) ZDUD, 无导数方法
& e( M* `- K% _9 x8 B3 JDuncan's new multiple range method, 新复极差法/Duncan新法& D* \# R/ d3 X* L+ n
Effect, 实验效应9 }, o h3 R4 O. n2 J9 X
Eigenvalue, 特征值
: ?* {& s" Z4 @Eigenvector, 特征向量( d- B# ^0 B& o6 Y8 e" p% i! g5 c
Ellipse, 椭圆! D- Y$ I; _# Q' q: B: q- R
Empirical distribution, 经验分布
u& i( E/ c4 ^' r& cEmpirical probability, 经验概率单位. S) b0 A5 W9 [& D
Enumeration data, 计数资料4 Y3 s1 q N F J0 b# }" l
Equal sun-class number, 相等次级组含量0 l$ i) H# E& @7 I
Equally likely, 等可能# O- o* g( ]6 Q5 Q9 z# D1 d
Equivariance, 同变性9 g4 z" y+ Q9 s. ]
Error, 误差/错误
/ }5 H0 Z$ E0 j/ j4 n8 U% _: JError of estimate, 估计误差
8 s" h/ H5 g3 p: ^6 A2 d3 L8 zError type I, 第一类错误
" K; d. B; u4 c; r) MError type II, 第二类错误3 e$ K# {: ?: A, {& D+ |" q0 k% f
Estimand, 被估量
1 y1 F n5 o1 O$ w( T' \5 M4 xEstimated error mean squares, 估计误差均方
6 V2 F2 f! I o TEstimated error sum of squares, 估计误差平方和, a+ Q4 L. ~( h4 W. y1 X
Euclidean distance, 欧式距离7 D- u2 V6 a( m5 {* `
Event, 事件
3 e( q5 p+ R9 T9 aEvent, 事件
8 }, K& J7 h% X" I# L* fExceptional data point, 异常数据点
0 L7 x8 k. W2 X6 f7 q l! {8 bExpectation plane, 期望平面: | k0 Z2 n: ]: ^2 J
Expectation surface, 期望曲面: V$ k- w' `! t7 C
Expected values, 期望值
6 o1 e4 i+ Q2 FExperiment, 实验2 A) G5 q4 Q* o. m" e9 k/ |" k) E# D
Experimental sampling, 试验抽样7 B& c( k6 l+ j" ]/ J* R
Experimental unit, 试验单位
8 ^+ z9 |/ u4 [9 hExplanatory variable, 说明变量2 j' K: b/ l! j9 D3 p( T) g
Exploratory data analysis, 探索性数据分析# f2 `! Z4 W8 |. K6 K4 L, d8 X
Explore Summarize, 探索-摘要/ W& T( G3 k! `
Exponential curve, 指数曲线9 r& R0 q3 w0 A' T8 z! R
Exponential growth, 指数式增长
, f$ o' I1 o- w; C% GEXSMOOTH, 指数平滑方法 ( d( f9 E3 W7 b2 s
Extended fit, 扩充拟合) S8 P7 A& S. G3 b; P7 J
Extra parameter, 附加参数$ f( a6 O, B0 t
Extrapolation, 外推法
( ~7 W: t+ F+ r/ ~& V/ f9 BExtreme observation, 末端观测值2 }+ y) L" {) [: i
Extremes, 极端值/极值2 Y. c, Z1 [, Z8 X- f! B# H- K
F distribution, F分布4 B3 f- @; ~5 ^0 {5 V
F test, F检验; H s" D( B" M* ^, w
Factor, 因素/因子6 Y# O. b" X! a1 f: P1 _, d
Factor analysis, 因子分析) j5 I* S) }. Q7 a+ Y8 Z# ~
Factor Analysis, 因子分析
0 E. e) H; D1 r) OFactor score, 因子得分 3 j+ y! B. P5 S: j: J9 F# ?# M( b
Factorial, 阶乘
& T* |; t. M) o0 h9 @Factorial design, 析因试验设计
0 L2 N' X8 ^! w8 ~, M V2 cFalse negative, 假阴性
$ G! J/ e7 \" Z; p+ AFalse negative error, 假阴性错误
$ V$ l4 S r& b) I+ NFamily of distributions, 分布族
6 y5 ?0 @$ y; Y+ PFamily of estimators, 估计量族. Z+ c. u2 \5 P
Fanning, 扇面) T, b1 `* o) J* U( m
Fatality rate, 病死率
1 s) @& p# A! @+ C, |+ E* ZField investigation, 现场调查3 b- c# C" L% k! j$ T
Field survey, 现场调查* C7 y! ]" L7 h2 e1 v; U G
Finite population, 有限总体) o) Q4 u/ A, Y' z& j, o% q
Finite-sample, 有限样本0 O- a1 y4 z" I7 ]" G! ^
First derivative, 一阶导数
7 p$ K4 c7 K; F! D" ^- UFirst principal component, 第一主成分
3 [+ g1 O1 E5 x5 c. nFirst quartile, 第一四分位数5 L6 a: X% v0 J2 H: f2 A' i# \
Fisher information, 费雪信息量& X7 l2 s3 ]2 u$ k
Fitted value, 拟合值
4 D( j0 f) G& w9 I, x" h& mFitting a curve, 曲线拟合
8 Q( w- N0 m9 `( W# W/ M$ Y. z- cFixed base, 定基4 [, }( Z6 R* \& i. ~, X
Fluctuation, 随机起伏2 a7 b- K7 ]- z5 X
Forecast, 预测
9 Z$ n9 m. o8 Y/ s- _Four fold table, 四格表, ]$ ]! u: r# o, K* K
Fourth, 四分点1 n: ~" O9 k! p# [" u
Fraction blow, 左侧比率
( Z5 }/ m9 W. A) d7 y. L7 y" J1 Q9 e$ BFractional error, 相对误差
% a! v! p T9 R, PFrequency, 频率% Y a7 L8 _$ P, h
Frequency polygon, 频数多边图
! a w1 L1 M0 m5 v2 s$ KFrontier point, 界限点8 A+ n+ {0 b- N# t( N O- ^/ I/ c
Function relationship, 泛函关系
5 {# k$ }! @' H. Y3 j7 W0 _Gamma distribution, 伽玛分布, S& c4 C$ c+ w- d* V7 y
Gauss increment, 高斯增量
/ z! [* a* i1 ~% V* tGaussian distribution, 高斯分布/正态分布
+ z$ _+ X* D" J6 l" mGauss-Newton increment, 高斯-牛顿增量+ g* Z% s+ C' K& g9 i, t
General census, 全面普查
6 B. D9 P% f/ H9 L, \9 h9 u9 {GENLOG (Generalized liner models), 广义线性模型 7 ^, k8 k& l* N H8 `4 l& K
Geometric mean, 几何平均数
' I" v# n( n+ ~$ P% K$ v, f6 UGini's mean difference, 基尼均差, H2 ?$ a- M% m4 m7 {
GLM (General liner models), 一般线性模型 . u& ?& X) @8 e2 y
Goodness of fit, 拟和优度/配合度
8 Q" ^; j' ^/ y) S* |Gradient of determinant, 行列式的梯度- Y1 U& ~- F1 J0 _
Graeco-Latin square, 希腊拉丁方
! F9 N4 }0 K. B2 d" ]Grand mean, 总均值4 A: ~# R6 ^2 L5 d+ c
Gross errors, 重大错误
1 `: \+ B) D: m& o! [7 k+ n: XGross-error sensitivity, 大错敏感度* d( A$ p* v5 w7 ?* _. i
Group averages, 分组平均+ l3 L F4 v* j+ L" T
Grouped data, 分组资料
, n7 C5 ?0 Y% U. f+ cGuessed mean, 假定平均数
2 M4 U$ N" r) L/ u5 uHalf-life, 半衰期
, ~. a8 r; t+ P/ t; VHampel M-estimators, 汉佩尔M估计量+ S* j4 V+ W7 D( ~; }
Happenstance, 偶然事件
9 r1 f8 A- \5 g) T7 {, z4 `Harmonic mean, 调和均数
2 n. S# [8 x' |+ o. b. gHazard function, 风险均数' q- _- U8 p5 r- j' s% v8 v
Hazard rate, 风险率 ?- C2 e, X! j( m4 l7 Z8 ]! F7 d
Heading, 标目 ) \" B( L/ i/ Z. D* y; J3 ^
Heavy-tailed distribution, 重尾分布' |4 s' Z$ _" y+ V2 i* A
Hessian array, 海森立体阵
, ]; M5 V, ~0 f; R# J' wHeterogeneity, 不同质 i0 s' D, e; |
Heterogeneity of variance, 方差不齐
, t: b2 `% P: e! vHierarchical classification, 组内分组9 A: ]4 z; |9 o
Hierarchical clustering method, 系统聚类法" Z7 \; }7 Z' a/ r6 J J/ f
High-leverage point, 高杠杆率点
- K' c6 ?: M- L9 JHILOGLINEAR, 多维列联表的层次对数线性模型6 x; j, X6 \% D; _& J
Hinge, 折叶点5 Q" e/ V6 _% @! I( l
Histogram, 直方图9 Y: [- ?: k, e7 I+ M0 I
Historical cohort study, 历史性队列研究 9 V8 u8 i3 G) k+ N" ?% U
Holes, 空洞6 T1 t+ Z7 V: B! U6 f
HOMALS, 多重响应分析
" C; C. E! |) k. O" v zHomogeneity of variance, 方差齐性) E! {% t' K4 X$ w- g
Homogeneity test, 齐性检验. l" O% E0 `2 Q' H# Q
Huber M-estimators, 休伯M估计量- S$ r1 W' L1 [! m: U* O) s7 w
Hyperbola, 双曲线2 V0 _2 e, ]- I" H
Hypothesis testing, 假设检验
, B( S: T4 h9 W1 VHypothetical universe, 假设总体
* |2 B8 V9 K( LImpossible event, 不可能事件5 q7 K+ X! B2 e9 H- g6 j+ u% f) J
Independence, 独立性
$ p3 `2 Z" A H! E; ZIndependent variable, 自变量
/ z6 l) \" L. M/ r0 s7 F/ y& oIndex, 指标/指数( @9 n( V {" ~) w& P
Indirect standardization, 间接标准化法2 p, L' r! n5 z- @
Individual, 个体
: N; u+ E! o) m" Q( aInference band, 推断带& v- _! ]/ }& L+ Y
Infinite population, 无限总体
3 G/ p* c0 f5 q( b1 XInfinitely great, 无穷大
8 k6 Y( u& E4 [* |Infinitely small, 无穷小1 Z* S6 z/ Q7 J; i$ e) N5 _
Influence curve, 影响曲线 O4 `( M" A' `3 |# ?
Information capacity, 信息容量2 J! b1 e; N i" d. n9 s9 P
Initial condition, 初始条件
6 g& K! X1 @" G& d6 MInitial estimate, 初始估计值
7 z/ M9 e* }9 G) |7 TInitial level, 最初水平2 u! ?8 U$ t- [/ g5 A2 s6 d N
Interaction, 交互作用
# Z8 J+ a7 H- D; ?Interaction terms, 交互作用项
( C) r8 U1 F& @5 {1 I, OIntercept, 截距# G) v- n3 H. V0 [& \6 j; I a. T
Interpolation, 内插法
" r$ R' R6 b4 V+ q: Z: G2 q( B& XInterquartile range, 四分位距/ u8 E) n: e. t( f* k; @
Interval estimation, 区间估计. F. R0 f! w( H' Z& i
Intervals of equal probability, 等概率区间" A; w4 Q5 d9 S, E/ h& w
Intrinsic curvature, 固有曲率2 l Y2 `6 V6 R: z+ s: s' [! E: T% Y
Invariance, 不变性
5 f5 @% Q" \7 L6 j1 ^ jInverse matrix, 逆矩阵) a" K- C7 F/ n2 _9 c; R9 V! u& `
Inverse probability, 逆概率7 l [) B% T2 u% v
Inverse sine transformation, 反正弦变换5 L- i6 L w% F& m9 T* u
Iteration, 迭代 % i; q9 x; K% y; ^( }1 P' x; \
Jacobian determinant, 雅可比行列式
$ g7 r& k6 P: ?' O6 C% E' gJoint distribution function, 分布函数* [. a6 \6 ~7 @
Joint probability, 联合概率
3 z+ y- R6 F) f/ {; T; M! A2 dJoint probability distribution, 联合概率分布
/ s- |% p# m1 P( rK means method, 逐步聚类法3 y' s& m% {, x8 T2 N$ Z! ]4 F$ ^, `
Kaplan-Meier, 评估事件的时间长度
2 @) b$ d. C: J+ F2 N3 }7 J6 PKaplan-Merier chart, Kaplan-Merier图
/ v& o+ b4 _+ _Kendall's rank correlation, Kendall等级相关
& u8 X3 S k$ M- j- iKinetic, 动力学
4 \; u; P8 y, [/ \4 H4 j+ aKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
( ?/ o. J8 Z3 z3 OKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验 U. U* E& @/ i7 x7 R
Kurtosis, 峰度1 g9 ]# m0 \9 j
Lack of fit, 失拟
4 A2 K' n+ i- ]' P: LLadder of powers, 幂阶梯
4 o. r4 t7 L5 B" oLag, 滞后5 ~) V! m ^4 F8 f$ D3 [! Z
Large sample, 大样本% T: Z1 R! p4 s' [+ I6 c' g
Large sample test, 大样本检验
8 O: k9 P+ A; bLatin square, 拉丁方- }( `% [5 J, G- T' v0 X
Latin square design, 拉丁方设计8 ^, N& |* f" e1 g
Leakage, 泄漏
1 n* H9 u9 r K# M. ]+ ^Least favorable configuration, 最不利构形
) T6 @4 M8 u/ V- lLeast favorable distribution, 最不利分布, l7 P) l4 f# D- F, z
Least significant difference, 最小显著差法% l1 ?4 C4 t1 [. Z
Least square method, 最小二乘法+ u* u3 u1 u) W! N) m+ A( d
Least-absolute-residuals estimates, 最小绝对残差估计
+ |5 p! a( J5 E Q( Y# W% ?Least-absolute-residuals fit, 最小绝对残差拟合
) D1 I$ V* H4 L% Z8 w6 wLeast-absolute-residuals line, 最小绝对残差线9 Z4 q; Y0 K* P3 {' Q' w h$ a! M
Legend, 图例" n% N2 G7 j) h8 Y. f
L-estimator, L估计量
: M6 h7 W& c5 c0 @6 i1 N% F8 zL-estimator of location, 位置L估计量. }4 p7 |! }+ O0 Q& c! ]. j
L-estimator of scale, 尺度L估计量
- L* @" I# Z: p: T# z# oLevel, 水平4 _+ m( @# G2 L; ]% f
Life expectance, 预期期望寿命* W! [" |9 C+ v$ C; d8 D. X
Life table, 寿命表4 z2 @1 W8 T: v( D/ R
Life table method, 生命表法
' u5 w* u" ? P. N/ B2 K& @% ELight-tailed distribution, 轻尾分布
$ H0 D% E% J! {# P# pLikelihood function, 似然函数6 Z! N, ~7 G( \1 [5 J8 f# q
Likelihood ratio, 似然比3 b. I5 T7 ]( I1 z& p% K4 H
line graph, 线图) h6 U \" a. l
Linear correlation, 直线相关0 Z! K0 _+ `) W" {! V, Q `
Linear equation, 线性方程& T, a' x% [3 O& C5 f
Linear programming, 线性规划7 N( T9 w6 u$ ]# E
Linear regression, 直线回归
6 M: q5 b( l' S+ O# n+ y) \Linear Regression, 线性回归) |, W. c! o: G1 o+ e
Linear trend, 线性趋势
$ {4 f% s1 `( Y1 \Loading, 载荷
m$ F. y( k8 t# q- K& z, `Location and scale equivariance, 位置尺度同变性 a) X, f& y* o7 Z3 n: k
Location equivariance, 位置同变性
* z: M; K k* Z- MLocation invariance, 位置不变性' M5 ?/ D0 v: V& q
Location scale family, 位置尺度族
7 x5 a+ s! p5 DLog rank test, 时序检验
) [' y7 E3 e% u5 }6 DLogarithmic curve, 对数曲线2 F1 |7 b4 ? v$ d9 I
Logarithmic normal distribution, 对数正态分布+ s5 r) ?/ k$ h" }, Y( u' n' n" i
Logarithmic scale, 对数尺度: F& x4 K. N9 K2 B, f, \ `- f
Logarithmic transformation, 对数变换) f- [$ g5 N3 `
Logic check, 逻辑检查
0 M$ r6 V$ b5 ~( l6 L( ZLogistic distribution, 逻辑斯特分布
7 u9 F' p9 x- TLogit transformation, Logit转换0 v9 L1 W5 I: U
LOGLINEAR, 多维列联表通用模型
7 H" M% p. b# L. k0 A7 C+ _Lognormal distribution, 对数正态分布- D$ O- R4 N9 Z# j1 o6 t. e
Lost function, 损失函数1 g% U2 h' W" x; _- ~/ n1 t
Low correlation, 低度相关
+ R, x' `/ S8 l2 Z$ vLower limit, 下限( \* G5 c' s/ P
Lowest-attained variance, 最小可达方差- q3 i# k, z9 S5 `( `7 C
LSD, 最小显著差法的简称
( M4 E5 ^; {* p1 v P! a4 ULurking variable, 潜在变量
( h+ x w6 w% ?# u; p; ~* `9 M. o8 NMain effect, 主效应
1 M& T" J7 F7 Y& y# ^4 s; L! {Major heading, 主辞标目+ {# b+ ]! T' R5 w* J5 t8 `+ i
Marginal density function, 边缘密度函数- y- M. q2 [" D2 O) c$ Z/ b
Marginal probability, 边缘概率1 m) J: X2 c/ |0 _1 b. `+ C+ j
Marginal probability distribution, 边缘概率分布$ \0 x; c; t. I+ Y
Matched data, 配对资料
/ H% ^$ k7 l# s! J% w! UMatched distribution, 匹配过分布) h3 G: | r+ K2 A; b: P2 ?
Matching of distribution, 分布的匹配
: e4 m& g0 w9 _$ L% [2 m6 ]Matching of transformation, 变换的匹配5 |1 v3 H4 V* F( g; q4 M; n- j
Mathematical expectation, 数学期望
0 J& T c1 |& v8 IMathematical model, 数学模型
' ?7 ~9 ?7 Q/ [9 E8 d6 z) zMaximum L-estimator, 极大极小L 估计量6 @& ^" t* g1 C8 }
Maximum likelihood method, 最大似然法
# n3 i4 n8 Y" \Mean, 均数" R+ o( i. O* {7 F( \# ]. @0 q6 ~
Mean squares between groups, 组间均方2 i; v& U( y6 o( n* ^' K/ y4 V' z
Mean squares within group, 组内均方& P6 |1 g7 B A9 _ h3 z
Means (Compare means), 均值-均值比较. G y$ p! i7 F
Median, 中位数
4 \, f5 f9 s5 f0 r. E* ]Median effective dose, 半数效量2 c1 E5 F% ]! s3 h$ d$ x- Y" r6 V
Median lethal dose, 半数致死量) B4 U7 t* }6 I: f* `$ m
Median polish, 中位数平滑$ N3 T. D$ t' S1 U4 i
Median test, 中位数检验
! L4 H0 r5 f" w* w+ f3 xMinimal sufficient statistic, 最小充分统计量
( b& p+ E$ k: ]9 U; ~/ i" qMinimum distance estimation, 最小距离估计& i1 @) R5 d* T; |
Minimum effective dose, 最小有效量
4 t0 \6 H, d) k' E% J; V3 F9 z' wMinimum lethal dose, 最小致死量4 a0 ~8 C9 G T2 C1 \) l# g# A
Minimum variance estimator, 最小方差估计量
+ n" H: e# Z: g* u+ p9 P5 dMINITAB, 统计软件包
$ p2 b( p' t+ r6 iMinor heading, 宾词标目
- L% O/ Y9 J% i! B: w. K0 ]Missing data, 缺失值
# `) `5 Q0 _- YModel specification, 模型的确定
" a3 U) r% `; e4 f2 g( I5 P! H+ M8 a! {Modeling Statistics , 模型统计
2 Z" O" J- X" O- @ C8 jModels for outliers, 离群值模型: s) ]% s; t' |" ?
Modifying the model, 模型的修正
. p1 B0 o! u* g# F8 dModulus of continuity, 连续性模. d; C8 u1 A0 U. R4 ~
Morbidity, 发病率 2 S6 f0 s5 t2 Z4 v1 S2 s
Most favorable configuration, 最有利构形3 [! V) x! P! |* W
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
k1 k7 l j- M- x4 [Multinomial Logistic Regression , 多项逻辑斯蒂回归
7 I3 n! Y) D7 i% }' B& d# c0 S" ZMultiple comparison, 多重比较+ ^# n+ k8 U: [( g; U$ b
Multiple correlation , 复相关
! j7 B4 S% j. W1 z% F6 b* C+ zMultiple covariance, 多元协方差7 }. T+ s$ Z- c3 C" w6 \% Q
Multiple linear regression, 多元线性回归2 n K5 e% E3 U7 b2 D
Multiple response , 多重选项
4 A6 K M% ^1 }5 a( C1 I' PMultiple solutions, 多解7 }: c1 t: e( Z5 K$ g6 j
Multiplication theorem, 乘法定理" k6 _6 i' [5 g
Multiresponse, 多元响应( s' Q4 f2 H% ~8 ~7 s( ]& D {
Multi-stage sampling, 多阶段抽样& q: s9 `: p' z: L$ I) d( J* h
Multivariate T distribution, 多元T分布( [* z$ ~+ n% d/ Q, Z- P* G
Mutual exclusive, 互不相容! K* F2 G+ Z, G, f
Mutual independence, 互相独立
0 u8 F/ L, @ S0 Z vNatural boundary, 自然边界$ @- }5 M0 N+ B2 N1 c7 \& ^
Natural dead, 自然死亡" q6 d. F+ E* x- ]6 v% b, S; m& J
Natural zero, 自然零
1 W* v3 i$ z. J8 x6 _6 ZNegative correlation, 负相关, p$ p8 V8 M9 `6 C8 n0 t
Negative linear correlation, 负线性相关7 x& g" N! N" f' S# f* x& T* y& ]8 L) A
Negatively skewed, 负偏, f7 A$ G8 \( |& c0 `
Newman-Keuls method, q检验2 j" P; N" E: ^# Z' w7 j
NK method, q检验6 q! S+ } `: M$ r' b
No statistical significance, 无统计意义
. I3 T! l* t! x0 h+ n' kNominal variable, 名义变量3 U/ }) P) G. y: E" k8 M% E% D
Nonconstancy of variability, 变异的非定常性% G3 N( D1 Q0 y5 r
Nonlinear regression, 非线性相关3 L: b4 a5 ^# F% P* V$ v
Nonparametric statistics, 非参数统计" `4 E5 M$ n; x8 ~
Nonparametric test, 非参数检验" Y8 o5 h5 q' B1 |7 J# m3 N
Nonparametric tests, 非参数检验
! A0 C' ?2 M& Y, j {9 t( O# `Normal deviate, 正态离差 O6 O( Y% Q) C1 Z# Z9 l! C1 b
Normal distribution, 正态分布' ^6 J9 l2 C" h; c7 g) x
Normal equation, 正规方程组, S) a) J) c1 }+ |
Normal ranges, 正常范围4 l. J, y' z/ x m" b* L
Normal value, 正常值% K- }8 p+ B4 v2 v6 I
Nuisance parameter, 多余参数/讨厌参数. o3 b" r! ~: G' X& _' c3 a
Null hypothesis, 无效假设 ( G; u- Z! K- v' C
Numerical variable, 数值变量% ?& e$ s# c A" y& t# ]4 t
Objective function, 目标函数8 O7 i' G$ f' Y. p' M( T* a6 N
Observation unit, 观察单位
* J2 S+ _7 I3 K' y& R/ S8 h+ vObserved value, 观察值3 e& J( K# s) U/ X5 N( E2 z6 F; e
One sided test, 单侧检验4 n! _! q( f1 g, E5 @
One-way analysis of variance, 单因素方差分析
& u7 `. z: Q/ a+ |5 Z9 \, O' v7 o3 ROneway ANOVA , 单因素方差分析0 q7 Q f6 D; W2 z) Q) ^- }6 c
Open sequential trial, 开放型序贯设计& C6 P# a I! M- m& K* ]
Optrim, 优切尾
4 ~. }5 C6 h7 k9 uOptrim efficiency, 优切尾效率# W" q3 ?* I1 t! g3 F9 F
Order statistics, 顺序统计量! P" B! @5 V/ X, K! M
Ordered categories, 有序分类6 I Y' k; V6 j1 g& d
Ordinal logistic regression , 序数逻辑斯蒂回归0 U) U1 _/ C# B# I
Ordinal variable, 有序变量# [1 u3 `+ E( @6 ?
Orthogonal basis, 正交基+ n- F* r; Y& b: u% p) e
Orthogonal design, 正交试验设计2 r- ]% ]+ S0 A6 b/ N3 t
Orthogonality conditions, 正交条件; z: D, k8 e8 i/ E
ORTHOPLAN, 正交设计 " A. p/ a4 f! _4 N8 U- m1 G g/ V
Outlier cutoffs, 离群值截断点
3 T# k& g+ N5 {0 hOutliers, 极端值/ v+ l* U4 s1 J+ Z
OVERALS , 多组变量的非线性正规相关 ( F: Q) A/ m6 W* ]7 [$ G; g
Overshoot, 迭代过度
- T4 s/ I4 Y6 @. U( w) M( A3 GPaired design, 配对设计
; j1 L& h( \9 W2 G) ?9 S' y. `% Y; v1 U' fPaired sample, 配对样本
2 X2 ]' p( O& y k8 XPairwise slopes, 成对斜率2 {. D+ P. Q. v& M. q
Parabola, 抛物线
) L# t) J8 N3 F8 c1 lParallel tests, 平行试验
" J6 T/ S4 P4 m* MParameter, 参数
, k' \8 |( S8 |, EParametric statistics, 参数统计+ ?" F( A: H( z. c0 O+ L1 p+ Q
Parametric test, 参数检验
2 u/ a( `- v6 Y7 K JPartial correlation, 偏相关4 v# t3 K. f3 a" R2 s
Partial regression, 偏回归+ z" z+ O4 z ?2 I5 c- |) f
Partial sorting, 偏排序8 K. x+ Q/ J( ^' v4 I: e/ \6 P
Partials residuals, 偏残差
' |8 d. l( e" EPattern, 模式& s% b3 {! _3 G- t f+ p% H: a
Pearson curves, 皮尔逊曲线. ]2 Y* Q0 u9 [+ z
Peeling, 退层! t" K# A& _! }2 N3 i- k
Percent bar graph, 百分条形图
# I) T7 K# f# }) I+ {Percentage, 百分比
* ~2 S- v$ ]! A. Y. ?. u; Z* X rPercentile, 百分位数9 j& k; j1 ]) y: h" Q* P, {
Percentile curves, 百分位曲线
4 G. G, G* N4 I! m, ~" vPeriodicity, 周期性
3 p2 [ U) E5 l3 y x$ cPermutation, 排列
4 p3 I# c- e& N; `4 h" rP-estimator, P估计量
3 j+ L% W% ?! _+ V6 Q% ~Pie graph, 饼图" ~! [, z4 R/ ?0 o0 ^- \- C
Pitman estimator, 皮特曼估计量
) y9 M* b+ d( sPivot, 枢轴量7 [3 v4 [' l- B
Planar, 平坦/ F' D* O" |% B7 f; V
Planar assumption, 平面的假设$ \# T4 x; k& D4 K. {
PLANCARDS, 生成试验的计划卡! H& v u$ l8 G9 [& s
Point estimation, 点估计
7 M2 t# a* P+ q# {5 G3 u0 b$ |/ C9 d5 EPoisson distribution, 泊松分布
}) f# F! H' BPolishing, 平滑3 I7 F8 R. m m; L3 g
Polled standard deviation, 合并标准差7 |: T, \$ V1 m, i. n! R
Polled variance, 合并方差
% f$ b7 q" I$ |) ~* ~Polygon, 多边图* q- Z. V) J" y1 p1 F
Polynomial, 多项式
: n" b4 i0 Y% z5 jPolynomial curve, 多项式曲线 H% m3 i. L, F1 H3 Q
Population, 总体( I. ~3 z; f4 K6 s3 A
Population attributable risk, 人群归因危险度
. X2 C" W2 _) g O" \Positive correlation, 正相关# v, d* p; Z. }1 k, V/ A
Positively skewed, 正偏
4 ?( J! G; E- N( iPosterior distribution, 后验分布1 V4 x7 E- C" L- Q
Power of a test, 检验效能0 i$ |( W- g0 O3 e+ a) a9 k
Precision, 精密度 n1 O, `7 C3 _% R; \
Predicted value, 预测值" c. V8 {4 c+ x6 Z0 G
Preliminary analysis, 预备性分析
4 Q l5 |8 v4 z0 sPrincipal component analysis, 主成分分析3 M1 C. T. {% p, `1 t- a5 r
Prior distribution, 先验分布5 g$ p! f& i) r8 N
Prior probability, 先验概率
- }2 z% h8 e3 g& F% tProbabilistic model, 概率模型0 h' ]/ ?0 E2 r! P0 x
probability, 概率 d3 N$ B W/ g3 {
Probability density, 概率密度7 K! c1 u2 a- a+ j- A2 B
Product moment, 乘积矩/协方差% U& l, e( ^& |) E
Profile trace, 截面迹图
( A, L! _. t8 k, e7 i! G5 ^Proportion, 比/构成比" i! u B+ T: x" F: x e
Proportion allocation in stratified random sampling, 按比例分层随机抽样
( ?: f/ I! N6 p( _" W5 T; e# ^* DProportionate, 成比例( @9 B- `7 s! i3 G1 _, ~ e5 j
Proportionate sub-class numbers, 成比例次级组含量
" G e" f X2 P& ]1 j+ Y6 gProspective study, 前瞻性调查/ w6 o7 V3 ^* ~) {5 n
Proximities, 亲近性 $ m3 I5 }: R$ G7 B
Pseudo F test, 近似F检验4 Y- r$ ]3 `$ X
Pseudo model, 近似模型
. Z# w2 {: k! y! e% T; F KPseudosigma, 伪标准差' g; Q- u8 y6 I& @' U* ~
Purposive sampling, 有目的抽样
3 z( Y9 s5 J2 u- wQR decomposition, QR分解7 `2 M5 C. U; w# U v4 U/ W$ F
Quadratic approximation, 二次近似: z6 r8 _1 a( q0 s$ K6 @
Qualitative classification, 属性分类
9 c- u* Q. C/ {# aQualitative method, 定性方法" K% H' L$ b% t; F
Quantile-quantile plot, 分位数-分位数图/Q-Q图
+ Z3 O8 D' Y A; fQuantitative analysis, 定量分析
7 k9 p0 c! P+ r' f# mQuartile, 四分位数
6 Q4 Y9 w+ L/ s2 W, R7 K1 lQuick Cluster, 快速聚类/ \7 l* h: I. X1 X& F
Radix sort, 基数排序0 `% ?1 X' M' C, ]; _+ C
Random allocation, 随机化分组1 @9 v# Q* J% u) y3 \
Random blocks design, 随机区组设计
/ Y8 H) S2 N5 ~; C4 o1 l0 t0 MRandom event, 随机事件
2 g* f: \( f6 _! R. sRandomization, 随机化
' ~% e$ G, [; R8 ERange, 极差/全距
( z' A& E) _. O- l, t. l# g& T- wRank correlation, 等级相关2 G1 K) \/ T. e, I+ e( T' c: |
Rank sum test, 秩和检验
; l4 p _, o, nRank test, 秩检验! j# o( t* F- f- w. X, \5 I$ d5 E
Ranked data, 等级资料, w {5 K; u: \
Rate, 比率
' Z! e8 ?# p8 b9 N0 y: M' QRatio, 比例
6 ]3 z7 |* ~4 ~8 \% C5 IRaw data, 原始资料1 z6 D/ v0 O7 B
Raw residual, 原始残差6 S; K/ C7 D0 C4 V
Rayleigh's test, 雷氏检验
1 @/ t: X) H; ?2 P8 ]: y' DRayleigh's Z, 雷氏Z值 0 Y6 D- V0 d* ]: S7 C# ?8 O# C
Reciprocal, 倒数- D. B" n% `1 _
Reciprocal transformation, 倒数变换
1 L8 g/ L% V6 F: S% h; Y& ^Recording, 记录" T9 g% i0 E3 g# M* @' S# |3 x
Redescending estimators, 回降估计量" d; Z" J3 p) j0 `
Reducing dimensions, 降维
. U* d, v& ^7 r8 a6 X* lRe-expression, 重新表达
; M$ L* g" B9 M' H, @! F+ {Reference set, 标准组: Z: K/ x0 @, r
Region of acceptance, 接受域& g+ g. X" |+ h
Regression coefficient, 回归系数
! U0 Y; b |' u" vRegression sum of square, 回归平方和- d4 q; W' _# V8 g. H- A( n, t, y
Rejection point, 拒绝点
2 ?3 g6 w# i% s: g/ c" y+ l: U$ RRelative dispersion, 相对离散度
. b0 J, i2 t2 S5 p. x# ?- ]Relative number, 相对数% k4 |6 ]9 y5 ~8 O/ g! [ n C
Reliability, 可靠性
6 r1 N- D$ O: Y# L+ iReparametrization, 重新设置参数7 I! n# {7 ]5 i
Replication, 重复
, T k/ Z& `: r- X8 `Report Summaries, 报告摘要
5 n0 {; W# s! C& X! T9 h: s0 T; UResidual sum of square, 剩余平方和) D) y w f8 P5 A6 i# U% c
Resistance, 耐抗性
8 v4 |; n9 Y( o' k x: hResistant line, 耐抗线
& ?6 M3 f* B5 f% OResistant technique, 耐抗技术: J5 Y& X) u8 \! R l# ^
R-estimator of location, 位置R估计量
3 Q! k3 D( E, R6 {; yR-estimator of scale, 尺度R估计量7 w& Z$ M6 F5 \1 ^' \3 S; F7 G
Retrospective study, 回顾性调查5 w& J6 F0 y2 I4 J7 [' o5 }
Ridge trace, 岭迹3 o$ J5 x% t4 g7 ]" @
Ridit analysis, Ridit分析) A0 g: K, s+ I5 C5 b0 e; }
Rotation, 旋转& }% w3 r- t' w0 K2 _7 r, q
Rounding, 舍入
2 P+ ^/ U r9 T9 e* d- DRow, 行
8 y+ {3 x# r' ^Row effects, 行效应$ E; g7 T- H+ g4 g0 t
Row factor, 行因素
/ J' r4 ^8 V! _3 oRXC table, RXC表
, A2 [' z$ |! B: s. y p. j% }Sample, 样本) X( b- b/ e& k6 F& ^5 U
Sample regression coefficient, 样本回归系数# d" o, e% _$ _" r
Sample size, 样本量
, D. ?6 H7 d3 W) x+ oSample standard deviation, 样本标准差
, x1 l, j- z* X1 ]7 N8 cSampling error, 抽样误差
1 `9 [, e( K1 O3 K: ?SAS(Statistical analysis system ), SAS统计软件包! b# h3 o$ s9 e) S
Scale, 尺度/量表& V- V+ z: r6 c, S7 G8 z7 p
Scatter diagram, 散点图
- K1 D& f3 e( k& R0 ~1 B2 [6 ?1 ^Schematic plot, 示意图/简图- F9 x8 g8 N. P
Score test, 计分检验5 V1 Q1 M5 c0 e. P* z6 {6 `( u" T. x: R
Screening, 筛检
( X: v0 J, J7 l: }# Z4 rSEASON, 季节分析
0 j0 Z9 l( }' aSecond derivative, 二阶导数( b3 ?. Y: w N) @: w/ ~8 u
Second principal component, 第二主成分
8 t5 S( Z: H& ySEM (Structural equation modeling), 结构化方程模型 8 T, Y% Y$ d5 y4 y3 ?% b
Semi-logarithmic graph, 半对数图: N; }7 S% ]& H" D) r0 e
Semi-logarithmic paper, 半对数格纸& r" S4 i( ^; @4 S5 f) c! h; R# O
Sensitivity curve, 敏感度曲线
0 D4 I& n- k p5 p0 F3 x7 fSequential analysis, 贯序分析$ W7 f. S$ t$ h: j7 `" C
Sequential data set, 顺序数据集
& ]! Y3 z* v* {Sequential design, 贯序设计
7 t* L, q# Q: F; d- |5 b4 NSequential method, 贯序法
9 d1 V' \. F0 r% \; l3 \Sequential test, 贯序检验法, S% x1 A: K/ z6 @5 q; x
Serial tests, 系列试验0 J$ Q( m9 `; ^6 @+ w: p3 y
Short-cut method, 简捷法 & t' O+ ]2 G3 Q, F
Sigmoid curve, S形曲线% j4 a6 `2 }2 F& [
Sign function, 正负号函数
# J) q/ V/ L0 u( Y2 T* O; LSign test, 符号检验
. H+ g _: }2 N2 q! ^8 RSigned rank, 符号秩) {3 T/ Q* x# |* I0 v# j
Significance test, 显著性检验
7 g$ w! u1 U6 C. q0 XSignificant figure, 有效数字, V: {* v( Z9 t- |/ d4 Z* |
Simple cluster sampling, 简单整群抽样5 ]! }0 z. u/ _2 C# T
Simple correlation, 简单相关
7 B8 Q- T* c! y8 ^5 T2 BSimple random sampling, 简单随机抽样
' U% e% e0 X- V2 xSimple regression, 简单回归
H( g% H% U, Asimple table, 简单表
* m+ N6 {. b9 T1 z6 oSine estimator, 正弦估计量
9 W0 a& \2 V+ B9 d* oSingle-valued estimate, 单值估计; A+ l, L, ?5 x* T, _& v
Singular matrix, 奇异矩阵
$ T0 P6 S; o' D- g+ q: dSkewed distribution, 偏斜分布
5 T, O& H9 s2 Q/ n2 l7 r4 W# lSkewness, 偏度
4 n8 B$ W3 a, C9 f( @7 ~% oSlash distribution, 斜线分布
* ^4 Q+ g8 [6 tSlope, 斜率7 _! t% a" i: D, B ~7 S5 n
Smirnov test, 斯米尔诺夫检验) L$ j6 y+ ^( u+ q% }0 X' m6 @: Z
Source of variation, 变异来源
8 O$ N6 h1 K. o; h; @9 i4 zSpearman rank correlation, 斯皮尔曼等级相关) c) t& S+ }2 x& G! T. G
Specific factor, 特殊因子0 U! Y2 g0 r' o# l
Specific factor variance, 特殊因子方差
% k7 N, Y; x9 C9 i. Z" T MSpectra , 频谱1 k( s+ H- F" s8 `7 w
Spherical distribution, 球型正态分布
' S& }7 F- m( m+ J2 dSpread, 展布 E. H! g0 g) L7 f6 d7 A
SPSS(Statistical package for the social science), SPSS统计软件包0 ]2 O4 L( b; A: M" S/ R: V. @+ l
Spurious correlation, 假性相关1 N+ T. t6 t- J8 Y
Square root transformation, 平方根变换# c+ `1 {' V4 j. k
Stabilizing variance, 稳定方差. J6 s+ l# F5 Z* \+ `. d
Standard deviation, 标准差8 u# ] w, i& [) a# h
Standard error, 标准误; H8 y4 i4 E' B @% U
Standard error of difference, 差别的标准误
. S0 U" n" B; c) Z0 |. M* L dStandard error of estimate, 标准估计误差+ ], c- M8 U- F/ p1 k9 @
Standard error of rate, 率的标准误
# l0 u" R; P& T; qStandard normal distribution, 标准正态分布# e U' R' w/ o
Standardization, 标准化( e' c# b7 ?- I$ E
Starting value, 起始值
/ }0 C. a! ^! [% H* X6 t9 }/ x+ e: ZStatistic, 统计量
+ R7 r' B4 P. b% ]Statistical control, 统计控制$ \ _8 @) f( D; Q& y- [" t- v
Statistical graph, 统计图# \- n) T8 y; ^/ d
Statistical inference, 统计推断
( S: T2 ]4 w- ?# o9 G( |Statistical table, 统计表8 O5 d& G0 H) V+ U* }3 Q7 [3 l8 F. c- T
Steepest descent, 最速下降法3 T% e' D. k o; T
Stem and leaf display, 茎叶图
3 V2 n# J& `6 ^0 o1 A/ JStep factor, 步长因子
8 s M, W7 c& e& S# }4 WStepwise regression, 逐步回归
# q6 o9 ]- y" W0 {# b' tStorage, 存# F: z& h. A, [2 T; f8 z5 D% `! N8 m
Strata, 层（复数）5 U$ o5 ~: c8 G- A
Stratified sampling, 分层抽样
3 T% N+ d* c9 l7 G' D! D5 IStratified sampling, 分层抽样
( U3 R9 |; G' M/ O8 bStrength, 强度" E8 ]0 f4 ]6 K0 ]
Stringency, 严密性
J0 e6 d8 Q; L' Y4 ^/ \Structural relationship, 结构关系9 S6 F- J, K0 |, O7 _
Studentized residual, 学生化残差/t化残差 w5 y) ]( L2 v
Sub-class numbers, 次级组含量
1 e9 G8 q) x+ A4 L8 Q+ B& zSubdividing, 分割
3 ?8 L, L6 j, a6 ~% s! ^% \Sufficient statistic, 充分统计量
2 w$ n! k" ~9 VSum of products, 积和1 F* P4 o( O* L2 Y& o. J
Sum of squares, 离差平方和8 R7 q+ N* _1 F/ q
Sum of squares about regression, 回归平方和
+ M+ I0 |) o* |7 Y1 j3 ?% _3 L, KSum of squares between groups, 组间平方和& T) T4 L* F6 G; E$ \9 l
Sum of squares of partial regression, 偏回归平方和 n/ P! @8 s0 T4 l J$ p: X3 B
Sure event, 必然事件
* l, W( w/ P, f3 f+ b; m8 e PSurvey, 调查
8 Z1 W6 U7 }2 a( e1 nSurvival, 生存分析9 e" F! ~" A4 w" Q! p
Survival rate, 生存率7 D2 Y! T0 [" o4 o- l% s
Suspended root gram, 悬吊根图3 Q" @( P: @/ {0 H7 H2 b
Symmetry, 对称3 L7 g( ^4 a+ B* {5 U- v
Systematic error, 系统误差
! ` t4 M0 w* X- u1 Z F+ k; CSystematic sampling, 系统抽样
& g% e+ Y: E/ _Tags, 标签' d a* s( I D J
Tail area, 尾部面积7 ~0 Z: Z% ]" `8 O, `
Tail length, 尾长
) B) t, n f0 |9 G* `8 ZTail weight, 尾重
0 Z( P9 q" n9 [: n2 u) STangent line, 切线
; J2 D6 w' x" d3 k3 s$ dTarget distribution, 目标分布7 p; F' ?2 b* N" ~
Taylor series, 泰勒级数+ @# e- G& w. g% U" ?4 Q% n* O* y
Tendency of dispersion, 离散趋势
# \2 O* N$ s! q) V. X. m! PTesting of hypotheses, 假设检验4 D* O9 b( B7 M4 ^+ l
Theoretical frequency, 理论频数' j: I' C9 j9 E& W; i
Time series, 时间序列
5 {4 x' S8 g9 P) W( g& Y3 b: K; rTolerance interval, 容忍区间
7 J1 z! v0 w, Y# E) b/ {( STolerance lower limit, 容忍下限$ k) d1 Y$ @: W( q& `+ B
Tolerance upper limit, 容忍上限
3 [3 A& G+ s3 b4 p5 |' aTorsion, 扰率$ d. x9 @8 J& C
Total sum of square, 总平方和
0 [* v1 D, z$ h2 v* v L# FTotal variation, 总变异- o" f) o2 L L9 F! n
Transformation, 转换. w, b) N5 W: S5 A
Treatment, 处理
0 p5 I, C1 J: g' y: P: l; m5 TTrend, 趋势$ }2 R; V$ V& `) r4 D
Trend of percentage, 百分比趋势
& [ X, s# H6 }( c5 H DTrial, 试验
8 \: P$ h+ y$ g) W1 D! hTrial and error method, 试错法! Q( `1 W8 Q w7 w
Tuning constant, 细调常数, f3 j+ ~: d9 Y' {0 c
Two sided test, 双向检验
: h5 e, V" ~5 F5 X, MTwo-stage least squares, 二阶最小平方 f; j. \ c5 c( G5 E& Q$ M
Two-stage sampling, 二阶段抽样. j% ]" w- j) b- o( U! }( t
Two-tailed test, 双侧检验
9 `0 | [6 M* h+ \. OTwo-way analysis of variance, 双因素方差分析% L' S' S/ o! G) l
Two-way table, 双向表5 `+ G. B1 X0 A" v/ d: R
Type I error, 一类错误/α错误
- v3 ^( ~( O/ k. X) MType II error, 二类错误/β错误
8 @" y& R; b& J/ p6 YUMVU, 方差一致最小无偏估计简称) N o3 ~) i8 ]; y, n
Unbiased estimate, 无偏估计
& |9 p& |# T) m; t1 T* ?8 {Unconstrained nonlinear regression , 无约束非线性回归' h4 i+ I# B# ~ x1 [
Unequal subclass number, 不等次级组含量2 z! F7 g' M. H/ X5 P8 L. ~( i
Ungrouped data, 不分组资料
) P9 d9 i$ ], }: \9 VUniform coordinate, 均匀坐标
. l9 ]. z- Z$ f; ~, R! uUniform distribution, 均匀分布6 [; Z; W. x" C
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计1 r- j8 |( l( i; f" m) k2 c: k
Unit, 单元
1 x8 I A# D# s- @Unordered categories, 无序分类% Y. z2 |/ Q5 f% i% t
Upper limit, 上限 V! ?" T3 R$ g" x7 f2 q
Upward rank, 升秩
1 e! p2 U% g* o1 m4 j1 _$ e qVague concept, 模糊概念
7 c+ P, p* u$ OValidity, 有效性
# \$ Q& K2 o6 P4 `6 b8 FVARCOMP (Variance component estimation), 方差元素估计
$ a e2 z. C0 O- TVariability, 变异性
$ X( H1 [6 d+ F! PVariable, 变量" w8 {, i/ n' y7 t2 o2 }
Variance, 方差
! v: H! P7 B! \" x' C. @9 tVariation, 变异
4 r: n) ~6 V; n+ r5 ~Varimax orthogonal rotation, 方差最大正交旋转; e* W* Y" n1 E) y- [
Volume of distribution, 容积
2 v, @6 ~4 J7 q" A4 L# ^ q$ ^. sW test, W检验; c: |/ O/ {* y ?
Weibull distribution, 威布尔分布
) D7 r0 U- Z' n2 j0 l% \Weight, 权数
6 h7 A# [" k7 r$ m: x fWeighted Chi-square test, 加权卡方检验/Cochran检验
7 m/ k# R% M5 b( BWeighted linear regression method, 加权直线回归
. z8 a1 Q+ Z& e, u4 XWeighted mean, 加权平均数5 ] l3 f: ?( X( E( v4 u$ T8 U
Weighted mean square, 加权平均方差6 ~( \7 [' I5 Q5 ^% w9 W8 Q
Weighted sum of square, 加权平方和
- a/ }: f0 b; P1 |9 p' gWeighting coefficient, 权重系数
9 \! D. d' ` |Weighting method, 加权法
5 M; H* \+ k: t% F) A$ l4 sW-estimation, W估计量2 P: D; D9 _, g( B9 p& i
W-estimation of location, 位置W估计量" S- a- n) W/ C9 J. t; f R8 t( X
Width, 宽度* n) j" s* G; F& ?' q) X4 B
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
9 d+ h2 \. Z* C# A- F/ k5 \0 nWild point, 野点/狂点, g, p1 Z% }6 p4 s; L/ d
Wild value, 野值/狂值& P% o5 F7 u* Q$ T8 r
Winsorized mean, 缩尾均值* M0 P4 L+ o1 M# }( s C
Withdraw, 失访 $ s; E' _" o S% B, a
Youden's index, 尤登指数5 |+ M: ~) x& [% X) a
Z test, Z检验% o4 r9 W) w8 \9 {- l; i
Zero correlation, 零相关
1 d& k* c! L- \ @Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
